Distinct microbial signatures and their predictive value in recurrent acute pancreatitis: insights from 5-region 16S rRNA gene sequencing

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 28, 2025

Recurrent acute pancreatitis (RAP) poses significant clinical challenges, with 32.3% developing to chronic within 5 years. The underlying microbial factors contributing RAP remain poorly understood. This study aims identify blood signatures associated and explore the potential predictors for RAP. In this prospective cohort, 90 patients are classified into non-recurrent (NRAP, n=68) (n=22) groups based on number of episodes. Microbial composition samples is analyzed using 5-region (5R) 16S rRNA gene sequencing. Key taxa functional predictions made. A random forest model used assess predictive value features impact Staphylococcus hominis (S. hominis) further evaluated in an experimental mouse model. Linear discriminant analysis effect size (LEfSe) highlights differences, Paracoccus aminovorans, Corynebacterium glucuronolyticum S. being prominent Functional indicate enrichment metabolic pathways group. Random identifies key AUC 0.759 predicting Experimental validation shows that exacerbates pancreatic inflammation mice. distinct RAP, emphasizing role specific bacterial recurrence. findings suggest profiling could enhance diagnosis management paving way personalized therapeutic approaches.

Language: Английский

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Skin Microbiota—Host Interactions in Health and Disease

Published: Jan. 1, 2025

Language: Английский

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Unveiling the interplay among skin microbiota, cytokines, and T2DM: an insightful Mendelian randomization study

Nutrition & Metabolism, Journal Year: 2025, Volume and Issue: 22(1)

Published: April 10, 2025

Previous observational studies have indicated a correlation between the skin microbiome and Type 2 diabetes (T2DM). It is hypothesized that this causal relationship may be influenced by inflammatory responses. However, these factors as determinants of T2DM remain largely unexplored. This study incorporated data from GWAS database on microbiome, 91 types cytokines, T2DM. We employed two-sample MR multivariable methods to assess T2DM, investigate whether affected cytokines. The results analysis indicate within genetically predicted genus: Acinetobacter, class: Alphaproteobacteria, Bacteroides, ASV005[Propionibacterium granulosum], ASV072[Rothia mucilaginosa] are associated with an increased risk while phylum: Proteobacteria, Enhydrobacter, family: Clostridiales, ASV006[Staphylococcus hominis] serve protective against Among levels Macrophage colony-stimulating factor 1, Tumor necrosis receptor superfamily member 9, Urokinase-type plasminogen activator, C-C motif chemokine 28 Multivariable further revealed 1 act mediating In study, we found connection cytokines playing key role in relationship. research helps us better understand complex link shows addressing inflammation important for preventing treating diabetes. could greatly benefit public health reducing impact its complications. Our suggest future should explore specific biological interactions develop more effective management treatment strategies microbial perspective.

Language: Английский

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Staphylococcus hominis as a source of antimicrobial peptides: identification of a new peptide with potential antimicrobial properties using in silico approach

Archives of Microbiology, Journal Year: 2025, Volume and Issue: 207(5)

Published: April 11, 2025

Language: Английский

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Staphylococcus saprophyticus prevents skin damage by inhibiting Staphylococcus aureus quorum sensing

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 16, 2025

Language: Английский

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